CAREER: Automatic Analysis of Cyber Physical Systems: Bridging the Gap between Research and Industrial Practice

职业:网络物理系统的自动分析:弥合研究与工业实践之间的差距

基本信息

  • 批准号:
    0953941
  • 负责人:
  • 金额:
    $ 45.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-03-01 至 2016-02-29
  • 项目状态:
    已结题

项目摘要

The goal of this project is to develop sophisticated formal verification tools for finding harmful defects in cyber-physical systems. Cyber-physical systems are responsible for numerous control tasks in safety-critical systems such as automobiles, avionics, medical devices, and power distribution systems. Guaranteeing the correctness of these systems is of the utmost importance. However, existing verification and validation techniques have fallen far short of addressing this important challenge.This project investigates verification techniques for analyzing large and complex cyber-physical systems. First, the project is developing rich modeling formalisms that are capable of capturing realistic system designs at the right levels of abstraction. These formalisms form the basis for verification techniques that can be used to pinpoint functional defects in cyber-physical systems. Specifically, the project focuses on techniques for detecting harmful numerical precision loss in control systems implemented using fixed and floating point numbers. Finally, the project addresses the challenge of verifying complex non-linear systems using interval analysis, convex optimization and symbolic decision procedures. The results of this research are available to the community in the form of open-source tools. These tools will directly support the verification of complex systems.The educational impact of the project lies in the integration of the research with a course curriculum centered around the theme of rigorous software engineering for cyber-physical systems. The resulting courses provide valuable training to undergraduate as well as graduate students in the use of advanced verification tools and techniques to ensure safe and reliable design of systems.
该项目的目标是开发复杂的正式核查工具,以发现网络物理系统中的有害缺陷。在汽车、航空电子设备、医疗设备和配电系统等安全关键系统中,网络物理系统负责大量的控制任务。保证这些系统的正确性是至关重要的。然而,现有的验证和验证技术远远不能解决这一重要挑战。本项目研究用于分析大型复杂网络物理系统的验证技术。首先,该项目正在开发丰富的建模形式,能够在正确的抽象级别捕获现实的系统设计。这些形式主义构成了验证技术的基础,这些技术可以用来精确定位网络物理系统中的功能缺陷。具体地说,该项目侧重于检测使用固定和浮点数实现的控制系统中有害的数字精度损失的技术。最后,该项目解决了使用区间分析、凸优化和符号决策程序验证复杂非线性系统的挑战。这项研究的结果以开源工具的形式向社区提供。这些工具将直接支持复杂系统的验证。该项目的教育影响在于将研究与以网络物理系统的严格软件工程为主题的课程课程相结合。由此产生的课程为本科生和研究生提供了关于使用先进的核查工具和技术以确保安全可靠的系统设计的宝贵培训。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Formal Techniques for Verification and Testing of Cyber-Physical Systems
  • DOI:
    10.1007/978-3-030-13050-3_4
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jyotirmoy V. Deshmukh;S. Sankaranarayanan
  • 通讯作者:
    Jyotirmoy V. Deshmukh;S. Sankaranarayanan
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Sriram Sankaranarayanan其他文献

Mixed-integer bilevel representability
  • DOI:
    10.1007/s10107-019-01424-w
  • 发表时间:
    2019-08-27
  • 期刊:
  • 影响因子:
    2.500
  • 作者:
    Amitabh Basu;Christopher Thomas Ryan;Sriram Sankaranarayanan
  • 通讯作者:
    Sriram Sankaranarayanan
Guest Editorial: Special issue on formal modeling and analysis of timed systems
  • DOI:
    10.1007/s11241-017-9274-7
  • 发表时间:
    2017-04-10
  • 期刊:
  • 影响因子:
    1.300
  • 作者:
    Marco Paolieri;Sriram Sankaranarayanan;Enrico Vicario
  • 通讯作者:
    Enrico Vicario
Large Language Models Enable Automated Formative Feedback in Human-Robot Interaction Tasks
大型语言模型可在人机交互任务中实现自动形成反馈
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Emily Jensen;Sriram Sankaranarayanan;Bradley Hayes
  • 通讯作者:
    Bradley Hayes
A bit too precise? Verification of quantized digital filters
是不是有点太精确了?
Automated Assessment and Adaptive Multimodal Formative Feedback Improves Psychomotor Skills Training Outcomes in Quadrotor Teleoperation
自动评估和自适应多模态形成反馈可改善四旋翼飞行器远程操作的精神运动技能训练成果
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Emily Jensen;Sriram Sankaranarayanan;Bradley Hayes
  • 通讯作者:
    Bradley Hayes

Sriram Sankaranarayanan的其他文献

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{{ truncateString('Sriram Sankaranarayanan', 18)}}的其他基金

Conference: Workshop for Rigorous and Reproducible Scientific Reasoning
会议:严谨且可重复的科学推理研讨会
  • 批准号:
    2336329
  • 财政年份:
    2023
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
CPS: Medium: Collaborative Research: Learning and Verifying Conformant Data-Driven Models for Cyber-Physical Systems
CPS:媒介:协作研究:学习和验证网络物理系统的一致数据驱动模型
  • 批准号:
    1932189
  • 财政年份:
    2019
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
SHF: Small: Rigorous Synthesis and Verification of Decisions Using Data-Driven Models
SHF:小型:使用数据驱动模型对决策进行严格的综合和验证
  • 批准号:
    1815983
  • 财政年份:
    2018
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
SHF: Small: Bilinear Constraint Solving and Optimization for Program Verification and Synthesis Problems
SHF:小型:程序验证和综合问题的双线性约束求解和优化
  • 批准号:
    1527075
  • 财政年份:
    2015
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: In-Silico Functional Verification of Artificial Pancreas Control Algorithms.
CPS:协同作用:协作研究:人工胰腺控制算法的计算机功能验证。
  • 批准号:
    1446900
  • 财政年份:
    2014
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
CSR: Small: Collaborative Research: Gray Box Testing of Complex Cyber-Physical Systems Using Optimization and Optimal Control Techniques
CSR:小型:协作研究:使用优化和最优控制技术对复杂信息物理系统进行灰盒测试
  • 批准号:
    1319457
  • 财政年份:
    2013
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
SHF: Small: Reasoning Rigorously About Probabilistic Programs
SHF:小:对概率程序进行严格推理
  • 批准号:
    1320069
  • 财政年份:
    2013
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
CPS: Small: Formal Analysis of Man-Machine Interfaces to Cyber-Physical Systems
CPS:小型:网络物理系统人机接口的形式分析
  • 批准号:
    1035845
  • 财政年份:
    2010
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Standard Grant
SHF: Small: Collaborative Research: Statistical Techniques for Verifying Temporal Properties of Embedded and Mixed-Signal Systems
SHF:小型:协作研究:验证嵌入式和混合信号系统时间特性的统计技术
  • 批准号:
    1016994
  • 财政年份:
    2010
  • 资助金额:
    $ 45.96万
  • 项目类别:
    Continuing Grant

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